Article

Stochastic resonance algorithm applied to quantitative analysis for weak chromatographic signals of alkyl halides and alkyl benzenes in water samples.

State Key Laboratory of Materials-Oriented Chemical Engineering, College of Life Science and Pharmaceutical Engineering, Nanjing University of Technology, Nanjing, Jiangsu 210009, China.
Journal of chromatographic science (impact factor: 0.88). 09/2009; 47(8):700-4. pp.700-4
Source: PubMed

ABSTRACT The stochastic resonance algorithm is applied to the trace analysis of alkyl halides and alkyl benzenes in water samples. Compared to encountering a single signal when applying the algorithm, the optimization of system parameters for a multicomponent is more complex. In this article, the resolution of adjacent chromatographic peaks is first involved in the optimization of parameters. With the optimized parameters, the algorithm gave an ideal output with good resolution as well as enhanced signal-to-noise ratio. Applying the enhanced signals, the method extended the limit of detection and exhibited good linearity, which ensures accurate determination of the multicomponent.

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Keywords

adjacent chromatographic peaks
 
applying
 
detection
 
enhanced signals
 
ensures accurate determination
 
exhibited good linearity
 
ideal output
 
optimized parameters
 
signal-to-noise ratio
 
single signal
 
stochastic resonance algorithm
 
system parameters
 
trace analysis
 
water samples
 

Suyun Xiang